Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sagar Sikder"'
Publikováno v:
Journal of Manufacturing Systems. 57:323-337
The primary objective of this study is to propose and verify a new synergistic prediction-based multivariate process quality control (MPQC) approach for manufacturing processes. The proposed approach considers the influence of covariates (e.g. uncont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7992468da99cd01f7a03cd7849a50cbc
https://doi.org/10.1016/j.jmsy.2020.10.003
https://doi.org/10.1016/j.jmsy.2020.10.003
Publikováno v:
IAPQR TRANSACTIONS. 43:61-71
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21c1764d7bffcd3c79f50ab91ad4187a
https://doi.org/10.32381/iapqrt.2018.43.01.4
https://doi.org/10.32381/iapqrt.2018.43.01.4
Publikováno v:
International Journal of Quality & Reliability Management. 34:1186-1208
Purpose The purpose of this paper is to develop a new easy-to-implement distribution-free integrated multivariate statistical process control (MSPC) approach with an ability to recognize out-of-control points, identify the key influential variable fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d5465738c37474c4efb11b4431d7b1
https://doi.org/10.1108/ijqrm-11-2015-0163
https://doi.org/10.1108/ijqrm-11-2015-0163
Publikováno v:
International Journal of Industrial and Systems Engineering. 33:314
In various abrasive machining processes, output quality is defined in terms of multiple critical responses and their deviations from target values. These multiple responses are often interacting and changing the process conditions for improving or co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5309064c8e3426f195e1e729f174ff0
https://doi.org/10.1504/ijise.2019.103443
https://doi.org/10.1504/ijise.2019.103443